Methods and Applications of Computational Immunology

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  • Author : Victor Greiff
  • Publisher : Frontiers Media SA
  • Pages : 123 pages
  • ISBN : 2889633888
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKMethods and Applications of Computational Immunology

Computational Immunology

Computational Immunology
  • Author : Josep Bassaganya-Riera
  • Publisher : Academic Press
  • Release : 21 October 2015
GET THIS BOOKComputational Immunology

Computational Immunology: Models and Tools encompasses the methodological framework and application of cutting-edge tools and techniques to study immunological processes at a systems level, along with the concept of multi-scale modeling. The book's emphasis is on selected cases studies and application of the most updated technologies in computational modeling, discussing topics such as computational modeling and its usage in immunological research, bioinformatics infrastructure, ODE based modeling, agent based modeling, and high performance computing, data analytics, and multiscale modeling. There are

Computational Immunology

Computational Immunology
  • Author : Shyamasree Ghosh
  • Publisher : CRC Press
  • Release : 17 February 2020
GET THIS BOOKComputational Immunology

Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions. The book also focuses on the latest developments in computational biology in designing of drugs, targets, biomarkers for early detection and prognosis of a disease. It highlights the applications of computational methods in deciphering the complex processes of the immune system and its role in health and disease. This book discusses the

Computational Immunology

Computational Immunology
  • Author : Shyamasree Ghosh
  • Publisher : CRC Press
  • Release : 31 January 2020
GET THIS BOOKComputational Immunology

Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions. The book also focuses on the latest developments in computational biology in designing of drugs, targets, biomarkers for early detection and prognosis of a disease. It highlights the applications of computational methods in deciphering the complex processes of the immune system and its role in health and disease. This book discusses the

Conceptual Modelling in Computational Immunology

Conceptual Modelling in Computational Immunology
  • Author : Martina Husáková
  • Publisher : Tomáš Bruckner
  • Release : 10 September 2015
GET THIS BOOKConceptual Modelling in Computational Immunology

Computational immunology offers in silico strategies for understanding of complex processes occurring in the natural immune system of a living organism that are difficult to explore by traditional in vivo or in vitro techniques. The monograph introduces conceptual languages and approaches for modelling biological processes. The Agent Modelling Language is investigated for conceptualisation of immune processes. AML-based diagrams represent properties and processes occurring in a lymph node.

Computational Immunology

Computational Immunology
  • Author : Shyamasree Ghosh
  • Publisher : CRC Press
  • Release : 14 October 2019
GET THIS BOOKComputational Immunology

The immune system is highly complex system with large number of macromolecules, signaling pathways, protein-protein interactions, and gene expressions. Studies from genomics, transcriptomics, metabolomics are generating huge high throughput data that needs to be analyzed for understanding the Immune system in Health and Disease. Computational approaches arehelping in understanding the study of complex biology of immunology and thereby enabling design of therapeutic strategies in diseases like infectious diseases, immunodeficiency, allergic, hypersensitive, autoimmune disorders and diseases like Cancer, HIV etc. Computational

Encyclopedia of Bioinformatics and Computational Biology

Encyclopedia of Bioinformatics and Computational Biology
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 21 August 2018
GET THIS BOOKEncyclopedia of Bioinformatics and Computational Biology

Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for

Immunological Bioinformatics

Immunological Bioinformatics
  • Author : Ole Lund,Morten Nielsen,Claus Lundegaard,Can Kesmir,Soren Brunak
  • Publisher : MIT Press
  • Release : 17 June 2005
GET THIS BOOKImmunological Bioinformatics

Using bioinformatics methods to generate a systems-level view of the immune system; description of the main biological concepts and the new data-driven algorithms. Despite the fact that advanced bioinformatics methodologies have not been used as extensively in immunology as in other subdisciplines within biology, research in immunological bioinformatics has already developed models of components of the immune system that can be combined and that may help develop therapies, vaccines, and diagnostic tools for such diseases as AIDS, malaria, and cancer.

Immunological Computation

Immunological Computation
  • Author : Dipankar Dasgupta,Fernando Nino
  • Publisher : CRC Press
  • Release : 12 September 2008
GET THIS BOOKImmunological Computation

Clearly, nature has been very effective in creating organisms that are capable of protecting themselves against a wide variety of pathogens such as bacteria, fungi, and parasites. The powerful information-processing capabilities of the immune system, such as feature extraction, pattern recognition, learning, memory, and its distributive nature provide rich metaphors that researchers are finding very useful for the development of computational models. While some of these models are designed to give us a better understanding of the immune system, other

Fuzzy Systems in Bioinformatics and Computational Biology

Fuzzy Systems in Bioinformatics and Computational Biology
  • Author : Yaochu Jin,Lipo Wang
  • Publisher : Springer Science & Business Media
  • Release : 15 April 2009
GET THIS BOOKFuzzy Systems in Bioinformatics and Computational Biology

Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties. Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving

Killer Cell Dynamics

Killer Cell Dynamics
  • Author : Dominik Wodarz
  • Publisher : Springer Science & Business Media
  • Release : 05 April 2007
GET THIS BOOKKiller Cell Dynamics

This book reviews how mathematical and computational approaches can be useful to help us understand how killer T-cell responses work to fight viral infections. It also demonstrates, in a writing style that exemplifies the point, that such mathematical and computational approaches are most valuable when coupled with experimental work through interdisciplinary collaborations. Designed to be useful to immunoligists and viroligists without extensive computational background, the book covers a broad variety of topics, including both basic immunological questions and the application

Systems Immunology

Systems Immunology
  • Author : Jayajit Das,Ciriyam Jayaprakash
  • Publisher : CRC Press
  • Release : 03 September 2018
GET THIS BOOKSystems Immunology

"Taken together, the body of information contained in this book provides readers with a bird’s-eye view of different aspects of exciting work at the convergence of disciplines that will ultimately lead to a future where we understand how immunity is regulated, and how we can harness this knowledge toward practical ends that reduce human suffering. I commend the editors for putting this volume together." –Arup K. Chakraborty, Robert T. Haslam Professor of Chemical Engineering, and Professor of Physics, Chemistry,

Systems and Computational Biology

Systems and Computational Biology
  • Author : Ning-Sun Yang
  • Publisher : BoD – Books on Demand
  • Release : 12 September 2011
GET THIS BOOKSystems and Computational Biology

Whereas some "microarray" or "bioinformatics" scientists among us may have been criticized as doing "cataloging research", the majority of us believe that we are sincerely exploring new scientific and technological systems to benefit human health, human food and animal feed production, and environmental protections. Indeed, we are humbled by the complexity, extent and beauty of cross-talks in various biological systems; on the other hand, we are becoming more educated and are able to start addressing honestly and skillfully the various

A Primer for Computational Biology

A Primer for Computational Biology
  • Author : Shawn T. O'Neil
  • Publisher : Unknown Publisher
  • Release : 21 December 2017
GET THIS BOOKA Primer for Computational Biology

A Primer for Computational Biology aims to provide life scientists and students the skills necessary for research in a data-rich world. The text covers accessing and using remote servers via the command-line, writing programs and pipelines for data analysis, and provides useful vocabulary for interdisciplinary work. The book is broken into three parts: Introduction to Unix/Linux: The command-line is the "natural environment" of scientific computing, and this part covers a wide range of topics, including logging in, working with